發(fā)布時(shí)間：2018-04-20 13:24

  本文選題：服務(wù)型制造 + 復(fù)雜系統(tǒng)��； 參考：《華南理工大學(xué)》2016年博士論文

【摘要】：服務(wù)型制造是全球制造業(yè)發(fā)展的趨勢(shì),也是我國(guó)未來(lái)若干年內(nèi)制造業(yè)轉(zhuǎn)型升級(jí)、國(guó)民經(jīng)濟(jì)向第三產(chǎn)業(yè)傾斜的重要發(fā)展路徑和戰(zhàn)略選擇。信息系統(tǒng)作為支撐新制造模式運(yùn)作管理的重要工具,其對(duì)環(huán)境的動(dòng)態(tài)適應(yīng)性和對(duì)不確定性因素的魯棒性等動(dòng)態(tài)特性是服務(wù)型制造模式順利推廣的重要保證和前提條件,是當(dāng)前制造業(yè)戰(zhàn)略轉(zhuǎn)型過(guò)程中亟需解決的重要科學(xué)問(wèn)題之一。業(yè)界通常采用如應(yīng)用系統(tǒng)采購(gòu)、功能系統(tǒng)開發(fā)、IT技術(shù)創(chuàng)新、信息基礎(chǔ)設(shè)施建設(shè)等IT資源投入舉措來(lái)實(shí)現(xiàn)信息化水平與環(huán)境的匹配,然而由于過(guò)于關(guān)注靜態(tài)需求情形下的階段性績(jī)效,使得長(zhǎng)期的投入產(chǎn)出效應(yīng)并不明顯。既有的理論研究也多從軟件工程視角關(guān)注局部的靜態(tài)結(jié)構(gòu)設(shè)計(jì)、制造服務(wù)過(guò)程中的協(xié)同、信息共享等系統(tǒng)功能實(shí)現(xiàn)的問(wèn)題,忽略了戰(zhàn)略轉(zhuǎn)型背景下環(huán)境要素的重要性和動(dòng)態(tài)變化性。因此,對(duì)信息系統(tǒng)的研究視角需要我們從“存在”的角度轉(zhuǎn)變?yōu)椤把莼�”的角度。靜態(tài)思維的局部研究難以把握信息系統(tǒng)的整體和其應(yīng)用過(guò)程中的動(dòng)態(tài)發(fā)展趨勢(shì),機(jī)械論的剛性、微觀還原論的單向?qū)哟畏治鲆埠茈y去解釋復(fù)雜信息系統(tǒng)演化過(guò)程中所涌現(xiàn)出來(lái)的復(fù)雜特性,因此對(duì)信息系統(tǒng)的研究需要新的理論和范式。而近年來(lái)復(fù)雜性科學(xué)方法的興起為我們的研究提供了新的有效思路。基于信息系統(tǒng)是復(fù)雜系統(tǒng)的事實(shí),將復(fù)雜性科學(xué)理論、生態(tài)學(xué)理論、演化理論等研究領(lǐng)域思想的精髓融入服務(wù)型制造信息系統(tǒng)的相關(guān)研究中,這不僅豐富了信息系統(tǒng)研究的理論方法和視角,還拓展了復(fù)雜性科學(xué)方法在管理領(lǐng)域的應(yīng)用范圍�；�于動(dòng)態(tài)演化視角,本文從微觀和宏觀兩個(gè)層次對(duì)服務(wù)型制造信息系統(tǒng)的演化機(jī)理以及演化過(guò)程中業(yè)界關(guān)注的自組織性、演化穩(wěn)定性、魯棒性等動(dòng)態(tài)特性進(jìn)行深入的探討,主要的工作和創(chuàng)新點(diǎn)如下:(1)服務(wù)型制造企業(yè)信息系統(tǒng)(SMEIS)的框架體系及運(yùn)行機(jī)制研究。已有研究多關(guān)注于技術(shù)層面下的協(xié)同、局部功能實(shí)現(xiàn)、軟件框架設(shè)計(jì)等問(wèn)題,管理視角下的研究略顯薄弱;基于此,需首先對(duì)SMEIS進(jìn)行基礎(chǔ)的理論構(gòu)建。結(jié)合服務(wù)型制造模式的運(yùn)營(yíng)需求,剖析了SMEIS新的功能和性能需求。依據(jù)服務(wù)型制造模式的業(yè)務(wù)活動(dòng)性質(zhì),對(duì)系統(tǒng)進(jìn)行劃分,分析了子系統(tǒng)之間的邏輯交互關(guān)系,并構(gòu)建了系統(tǒng)的抽象層次結(jié)構(gòu)。通過(guò)對(duì)典型SMEIS實(shí)體運(yùn)作流程的分析,從功能視角基于多Agent構(gòu)建了一個(gè)可裁剪的、普適性的SMEIS功能結(jié)構(gòu)模型。最后圍繞SMEIS實(shí)現(xiàn)良性演化的主要運(yùn)行機(jī)制進(jìn)行了理論上的探討�？蚣荏w系的研究是后續(xù)SMEIS演化邏輯框架構(gòu)建的基礎(chǔ),而運(yùn)行機(jī)制的研究則為自組織演化機(jī)理研究提供了微觀層面的認(rèn)知和理解。(2)基于理想度的SMEIS演化機(jī)理研究。區(qū)別于以往僅以質(zhì)量、成本為序參量的研究局限性以及多采用定性方法解釋復(fù)雜系統(tǒng)演化過(guò)程中涌現(xiàn)的復(fù)雜特性,引用并剖析了理想度作為序參量的普適性,通過(guò)對(duì)信息系統(tǒng)演化的關(guān)鍵動(dòng)力因素和系統(tǒng)演化邏輯框架的分析,構(gòu)建了以理想度為序參量的自組織演化動(dòng)力學(xué)模型,定量地探討了信息系統(tǒng)演化的方向和速率、系統(tǒng)演化進(jìn)入混沌區(qū)域的條件以及隨機(jī)漲落力對(duì)系統(tǒng)演化進(jìn)程的影響。研究結(jié)論驗(yàn)證了SMEIS符合典型復(fù)雜系統(tǒng)演化的突變和漸變過(guò)程以及隨機(jī)漲落對(duì)新序的消極破壞作用,同時(shí)發(fā)現(xiàn)系統(tǒng)的演化方向存在惡性和良性兩個(gè)混沌區(qū)域。(3)IT資源投入對(duì)SMEIS演化穩(wěn)定性的影響分析。區(qū)別于以往對(duì)IT資源投入與運(yùn)營(yíng)績(jī)效實(shí)證研究的重點(diǎn)關(guān)注以及企業(yè)資源投入的經(jīng)驗(yàn)決策范式,聚焦于契合服務(wù)型制造模式的關(guān)鍵狀態(tài)變量選擇,探討IT資源投入與系統(tǒng)演化穩(wěn)定性的關(guān)系機(jī)制,為實(shí)際決策提供了定量的參考依據(jù)。具體剖析了IT資源投入與關(guān)鍵狀態(tài)變量的關(guān)系機(jī)制,借助隱喻手法和Logistic方程構(gòu)建了以IT資源投入為控制變量,響應(yīng)能力、盈利能力和結(jié)構(gòu)復(fù)雜度為狀態(tài)變量的演化模型,引用李雅普洛夫間接法和絕熱近似法分別分析了IT資源投入對(duì)SMEIS演化穩(wěn)定性的影響以及狀態(tài)變量的演化過(guò)程,確立了系統(tǒng)實(shí)現(xiàn)良性演化的IT資源投入的閾值條件。(4)服務(wù)型制造網(wǎng)絡(luò)信息系統(tǒng)(SMNIS)的宏觀結(jié)構(gòu)演化機(jī)制和魯棒性。主要包括:1)剖析了SMNIS與SMN宏觀結(jié)構(gòu)演化的關(guān)系,論證了二者演化機(jī)制的一致性。SMN結(jié)構(gòu)演化機(jī)制的探討首先基于對(duì)SMN內(nèi)涵與結(jié)構(gòu)體系的認(rèn)知;接著圍繞SMN階段性演化的結(jié)構(gòu)特征,分析了影響網(wǎng)絡(luò)結(jié)構(gòu)演化的關(guān)鍵要素,從微觀視角的生產(chǎn)要素與服務(wù)要素的比重變化探討了網(wǎng)絡(luò)的演化路徑。最后基于對(duì)節(jié)點(diǎn)度變化率的推導(dǎo)以及數(shù)例仿真,解釋和驗(yàn)證了SMN結(jié)構(gòu)演化的無(wú)標(biāo)度性和群聚現(xiàn)象,其演化機(jī)制相比一般的無(wú)標(biāo)度網(wǎng)絡(luò)更具一般性和普適性。2)區(qū)別于已有文獻(xiàn)對(duì)微觀層面合作不確定性探討的單一性,從信息系統(tǒng)功能和性能實(shí)現(xiàn)、合作管理機(jī)制兩個(gè)視角深入剖析了SMNIS的合作不確性表現(xiàn)。通過(guò)更契合SMNIS特性的魯棒性度量指標(biāo)的構(gòu)建,基于復(fù)雜網(wǎng)絡(luò)理論和實(shí)例仿真探討了合作不確定性對(duì)SMNIS的魯棒性影響。上述研究及其成果不僅是復(fù)雜性科學(xué)方法在管理領(lǐng)域信息系統(tǒng)研究中的創(chuàng)新性應(yīng)用,同時(shí)也豐富和完善了服務(wù)型制造信息系統(tǒng)的研究體系;為實(shí)際企業(yè)管理決策者完善信息化架構(gòu)、有效定位信息系統(tǒng)建設(shè)水平、IT資源投資決策,規(guī)劃服務(wù)網(wǎng)絡(luò)等提供有價(jià)值的科學(xué)參考框架。
[Abstract]:Service manufacturing is the trend of the development of global manufacturing industry. It is also an important development path and strategic choice of the transformation and upgrading of the manufacturing industry in the next few years and the inclination of the national economy to the third industry. As an important tool to support the operation and management of the new manufacturing model, the information system has the dynamic adaptability to the environment and the uncertainty of the uncertainty factors. Dynamic characteristics, such as stick nature, are important guarantee and prerequisite for the smooth promotion of service based manufacturing mode. It is one of the important scientific problems to be solved in the process of strategic transformation of manufacturing industry. The industry usually adopts IT resource input measures, such as application system procurement, functional system development, IT technology innovation, information infrastructure construction and so on. The level of information is matched with the environment. However, due to the excessive attention to the stage performance in the static demand situation, the long-term input-output effect is not obvious. Some theoretical studies also focus on the static structure design of the local structure from the perspective of software engineering, the cooperation in the process of manufacturing service, and the realization of information sharing and so on. We ignore the importance and dynamic changes of environmental factors in the context of strategic transformation. Therefore, the perspective of the research on information systems needs to be transformed from the perspective of "existence" to "evolution". The local research of static thinking is difficult to grasp the dynamic development trend of the whole information system and its application process, the rigidity of the mechanical theory. It is difficult to explain the complex characteristics that emerge in the evolution process of complex information systems. Therefore, the study of information systems needs new theories and paradigms. In recent years, the rise of complex scientific methods has provided new and effective ideas for our research. Information systems based on the complex system are complex systems. In fact, the essence of the theory of complex science, ecology and evolution is integrated into the related research of the service manufacturing information system. This not only enriches the theoretical methods and perspectives of the information system research, but also expands the application scope of the complex scientific method in the management field. Based on the dynamic evolution perspective, this paper is based on the theory of dynamic evolution. The evolution mechanism of service based manufacturing information system and the dynamic characteristics such as self-organization, evolution stability and robustness are discussed from the two levels of microcosmic and macro level. The main work and innovation are as follows: (1) the framework and operation mechanism of the service manufacturing enterprise information system (SMEIS) Research has paid more attention to the cooperation in the technical level, the realization of local function, the design of software framework and so on. The research under the management perspective is slightly weak. Based on this, it is necessary to build the basic theory of SMEIS first. The new functions and performance requirements of SMEIS are analyzed in combination with the operation requirements of the service type manufacturing mode. Based on the service manufacturing process, the service based manufacturing needs to be analyzed. The business activity of the model is divided, the logical interaction between the subsystems is analyzed, and the abstract hierarchical structure of the system is constructed. Through the analysis of the typical SMEIS entity operation process, a tailor and universal SMEIS functional structure model is built on the basis of multi Agent from the functional perspective. Finally, the SMEIS is real. The main operating mechanism of the present benign evolution is discussed theoretically. The study of the framework system is the basis for the construction of the subsequent SMEIS evolution logic framework, and the study of the operational mechanism provides a micro level of cognition and understanding for the study of the self-organizing evolution mechanism. (2) the study of the SMEIS evolution mechanism based on the ideal degree is different from the past only with the quality. Quantity and cost are the limitations of the study of order parameters and the complex characteristics which are emerging in the evolution process of complex systems by qualitative methods. The universality of the ideal degree as an order parameter is quoted and analyzed. By the analysis of the key dynamic factors of the evolution of the information system and the logic frame of the system evolution, the ideal degree as the order parameter is constructed. The direction and rate of the evolution of information system, the condition of the evolution of the system into the chaotic region and the influence of the random rise and fall force on the evolution process of the system are discussed quantitatively by the self-organized evolutionary dynamics model. The conclusion is made that the SMEIS is in conformity with the mutation and gradual process of the typical complex system evolution and the negative destruction of the random fluctuation to the new order. At the same time, it is found that there are two chaotic and benign regions in the evolution direction of the system. (3) the analysis of the influence of IT resource input on the evolution stability of SMEIS. It is different from the previous emphasis on the empirical research on IT resource input and operation performance and the empirical decision-making paradigm of enterprise resource input, focusing on the closing of the service type manufacturing model. The key state variable selection is used to discuss the relationship mechanism of IT resource input and system evolution stability. It provides a quantitative reference for actual decision. The relationship mechanism between IT resource input and key state variables is analyzed. By means of metaphorical manipulation and Logistic equation, the control variables, response ability, profitability, and profitability are constructed with IT resource input. The structure complexity is the evolution model of the state variable. The effect of IT resource input on the evolution stability of SMEIS and the evolution process of state variables are analyzed by Lyapunov indirect method and adiabatic approximation method, and the threshold bar of IT resource input for the system is established. (4) service based manufacturing network information system (SMNIS) The macro structural evolution mechanism and robustness are mainly included: 1) 1) the relationship between the macro structure evolution of SMN and the evolution mechanism of the macro structure is analyzed. The consistency of the.SMN structure evolution mechanism of the two party evolution mechanism is discussed first based on the cognition of the connotation of the structure and the structure system, and then the structure characteristics of the SMN evolution are analyzed, and the influence of the network structure is analyzed. The evolution path of the network is discussed from the change of the specific proportion of production factors and service elements in the micro perspective. Finally, based on the deduction of the rate of change of the node degree and the simulation of several cases, the scale free and clustering phenomenon of the SMN structure evolution is explained and verified, and its evolutionary mechanism is more general than the ordinary scale-free network. The universality.2) is different from the single nature of the research on the cooperation uncertainty of the micro level. From the two perspectives of the function and performance of the information system and the cooperative management mechanism, the cooperation inaccuracy of SMNIS is deeply analyzed. Through the construction of the robust measurement index which is more consistent with the SMNIS characteristics, it is based on the complex network theory and the example simulation. The effect of the uncertainty of cooperation on the robustness of SMNIS is discussed. The above research and its achievements are not only an innovative application of the complex scientific method in the research of the information system in the management field, but also enrich and improve the research system of the service based manufacturing information system, and improve the information architecture for the actual enterprise management decision makers and the effective positioning letter. Information system construction level, IT resources investment decision, planning service network provide a valuable scientific reference framework.

【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：F424.3
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本文編號(hào)：1777954